The authors use matched employer-employee panel data on Belgian private-sector firms to estimate the relationship between wage/productivity differentials and the firm's labor composition in terms of part-time and sex. Findings suggest that the groups of women and part-timers generate employer...

The authors use matched employer-employee panel data on Belgian private-sector firms to estimate the relationship between wage/productivity differentials and the firm’s labor composition in terms of part-time and sex. Findings suggest that the groups of women and part-timers generate employer...

The authors use matched employer-employee panel data on Belgian private-sector firms to estimate the relationship between wage/productivity differentials and the firm's labor composition in terms of part-time and sex. Findings suggest that the groups of women and part-timers generate employer...

The authors use matched employer-employee panel data on Belgian private-sector firms to estimate the relationship between wage/productivity differentials and the firm’s labor composition in terms of part-time and sex. Findings suggest that the groups of women and part-timers generate employer...

The authors use matched employer-employee panel data on Belgian private-sector firms to estimate the relationship between wage/productivity differentials and the firm's labor composition in terms of part-time and sex. Findings suggest that the groups of women and part-timers generate employer...

Using longitudinal matched employer-employee data for the period 1999-2006, we investigate the relationship between age, wage and productivity in the Belgian private sector. More precisely, we examine how changes in the proportions of young (16-29 years), middle-aged (30-49 years) and older...

Using longitudinal matched employer-employee data for the period 1999-2006, we investigate the relationship between age, wage and productivity in the Belgian private sector. More precisely, we examine how changes in the proportions of young (16-29 years), middle-aged (30-49 years) and older...

Using longitudinal matched employer-employee data for the period 1999-2006, we investigate the relationship between age, wage and productivity in the Belgian private sector. More precisely, we examine how changes in the proportions of young (16-29 years), middle-aged (30-49 years) and older...

Using longitudinal matched employer-employee data for the period 1999-2006, we investigate the relationship between age, wage and productivity in the Belgian private sector. More precisely, we examine how changes in the proportions of young (16-29 years), middle-aged (30-49 years) and older...

The authors use matched employer-employee panel data on Belgian private-sector firms to estimate the relationship between wage/productivity differentials and the firm’s labor composition in terms of part-time work and gender. Findings suggest that the groups of women and part-timers...